CN112947372A - Remote diagnosis method based on active reporting of fault codes - Google Patents
Remote diagnosis method based on active reporting of fault codes Download PDFInfo
- Publication number
- CN112947372A CN112947372A CN202110162963.1A CN202110162963A CN112947372A CN 112947372 A CN112947372 A CN 112947372A CN 202110162963 A CN202110162963 A CN 202110162963A CN 112947372 A CN112947372 A CN 112947372A
- Authority
- CN
- China
- Prior art keywords
- diagnosis
- fault
- data
- vehicle
- fault code
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Selective Calling Equipment (AREA)
Abstract
The invention provides a remote diagnosis method based on active reporting of fault codes, and relates to the technical field of vehicle fault diagnosis. After the intelligent diagnosis APP receives the fault code data, the fault code data are classified and counted, visual prompt information of different fault states is provided for a user according to different fault levels, meanwhile, a specific fault is remotely diagnosed in a remote acquisition mode, data support is provided for fault code analysis, the problem that the fault reason is difficult to analyze by the aid of the fault code is avoided, and flexibility and diagnosis efficiency of remote diagnosis data pulling are improved.
Description
Technical Field
The invention relates to the technical field of vehicle fault diagnosis, in particular to a remote diagnosis method based on active reporting of fault codes.
Background
With the increasing degree of electric control of automobiles, the related fault types of automobiles inevitably grow, thereby increasing the complexity of vehicle fault diagnosis. The reading of present vehicle failure diagnosis data often reads through hand-held type failure diagnosis appearance on-spot as leading, and this type of diagnostic apparatus generally has powerful function and extensive practicality, but because strong speciality and expensive price, this type of diagnostic apparatus generally only uses in the car factory or car 4s shop, and its failure data obtains convenience, real-time, flexibility lower and troubleshooting cost is higher.
For the problems existing in the field diagnosis, a remote diagnosis method can be adopted for improvement, for example, the remote diagnosis methods provided by patent document cn103604612.a and patent document cn106814724.a can be summarized as follows: the method comprises the steps that a diagnosis user sends a remote diagnosis request to a background server through a client, the server issues a remote diagnosis instruction to a vehicle-mounted terminal based on a requested controller object, the vehicle-mounted terminal analyzes the remote diagnosis instruction and sends a diagnosis message to a corresponding controller, the controller responds to the diagnosis message and feeds back fault data, the vehicle-mounted terminal receives the diagnosis data and packages and uploads the data to a background, and the user obtains the fault data from the background through the client to perform fault analysis. The remote diagnosis method can solve the problems of convenience and cost of fault diagnosis to a certain extent, but because fault data is possibly not pulled timely and needs to be pulled passively, the real-time performance and flexibility of fault diagnosis are difficult to improve.
Therefore, it is necessary to develop a remote diagnosis method based on active reporting of fault codes.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a remote diagnosis method based on active reporting of fault codes, which is used to solve the problems of untimely data pulling and too low real-time performance and flexibility of fault diagnosis in the existing fault diagnosis.
The invention provides a remote diagnosis method based on active fault code reporting, which adopts a remote diagnosis system, wherein the remote diagnosis system comprises an electric control unit, a gateway, a vehicle-mounted terminal, a background server and an intelligent diagnosis APP which are sequentially connected, and the remote diagnosis method based on active fault code reporting comprises the following steps:
step S1, the electric control unit automatically diagnoses and actively reports fault code data to the outside through the vehicle-mounted bus, and simultaneously forwards the fault code data to the vehicle-mounted terminal through the gateway according to a preset rule;
step S2, the vehicle-mounted terminal is responsible for receiving and packaging the fault code data, uploading the fault code data to a background server for analysis and storage, and transmitting the fault code data to an intelligent diagnosis APP;
step S3, after the intelligent diagnosis APP acquires fault code data uploaded by the vehicle-mounted terminal from the background server, whether the fault code is configured with diagnosis data needing to be pulled and associated is judged, if yes, the intelligent diagnosis APP sends a request for pulling the diagnosis data remotely to the background server, otherwise, the intelligent diagnosis APP analyzes and counts the fault code data and reports the fault condition to a user;
step S4, after the background server receives the request of remote pulling the diagnosis data, the background server sends a remote pulling instruction to the vehicle-mounted terminal;
step S5, after the vehicle-mounted terminal receives the remote pull diagnosis instruction, the vehicle-mounted terminal is responsible for analyzing the pull instruction and sending a diagnosis request message to the corresponding electronic control unit based on the parameters in the instruction;
step S6, after receiving the diagnosis request message, the corresponding electronic control unit sends the corresponding diagnosis data to the bus, and the corresponding diagnosis data is forwarded to the vehicle-mounted terminal by the gateway;
and step S7, after the vehicle-mounted terminal receives the diagnosis data, packaging and uploading the diagnosis data for analysis by a user.
Further, when the electronic control unit in step S1 diagnoses the fault data, it immediately packages the corresponding fault codes and fault states into normal CAN messages, sequentially sends the normal CAN messages to the CAN bus where the fault codes and fault states are located, and forwards the normal CAN messages to the vehicle-mounted diagnosis terminal through the gateway, and sends the fault codes and fault states to the bus in the same manner when the corresponding fault states change.
Further, the electric control units are all distributed with fixed fault code message IDs, and the fault code message IDs include fault code high, medium and low bytes and fault states.
Further, in step S5, after the vehicle-mounted terminal receives the remote diagnostic data pulling instruction issued by the backend server, and detects that the current vehicle state meets the condition of remotely pulling the diagnostic data, the vehicle-mounted terminal converts the remote diagnostic instruction into a conventional diagnostic message, and sends a diagnostic request message to the corresponding electronic control unit.
Further, after the vehicle-mounted terminal sends the diagnosis request message to the corresponding electronic control unit, the vehicle-mounted terminal waits for the diagnosis response message based on the timeout set time, and after receiving the diagnosis response message, the vehicle-mounted terminal packages and uploads the message according to the preset rule.
The invention brings the following beneficial effects:
according to the remote diagnosis method based on active reporting of the fault codes, disclosed by the invention, the real-time performance of fault reporting is ensured to a certain extent by the mode that each electric control unit actively reports the fault codes, the problem that the fault codes cannot be obtained timely due to passive pulling in a background is avoided, and the fault can be timely found and processed. Meanwhile, specific diagnosis data can be remotely pulled, data support is provided for fault code analysis, and the problem that fault reasons are difficult to analyze by means of fault codes is solved. And the user-defined configuration of pulling the fault data is realized, and the flexibility and the diagnosis efficiency of pulling the remote diagnosis data are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a remote diagnosis system provided in this embodiment;
fig. 2 is a flowchart of a remote diagnosis method based on active fault code reporting according to this embodiment;
fig. 3 is a flowchart of active fault code reporting according to this embodiment;
fig. 4 is a flowchart of the remote pulling of diagnostic data according to this embodiment.
Detailed Description
As shown in fig. 1 or fig. 2, a remote diagnosis method based on active reporting of fault codes adopts a remote diagnosis system, the remote diagnosis system includes an electric control unit, a gateway, a vehicle-mounted terminal, a background server and an intelligent diagnosis APP, which are connected in sequence, and the remote diagnosis method based on active reporting of fault codes includes the following steps:
and step S1, the electric control unit automatically diagnoses and actively reports fault code data to the outside through the vehicle-mounted bus, and simultaneously forwards the fault code data to the vehicle-mounted terminal through the gateway according to a preset rule, wherein the fault code data comprises high, medium and low bytes of the fault code and a fault state.
And step S2, the vehicle-mounted terminal is responsible for receiving the packaged fault code data, uploading the fault code data to the background server for analysis and storage, and meanwhile, the background server provides the fault code data to the APP which can only be diagnosed.
Step S3, after the intelligent diagnosis APP obtains fault code data uploaded by the vehicle-mounted terminal from the background server, whether the fault code is configured with diagnosis data needing to be pulled and associated is judged, if yes, the intelligent diagnosis APP sends a request for pulling the diagnosis data remotely to the background server, otherwise, the intelligent diagnosis APP analyzes and counts the fault code data and reports the fault condition to a user.
And step S4, after the background server receives the request of remote pulling the diagnosis data, the background server issues a remote pulling instruction to the vehicle-mounted terminal.
And step S5, after the vehicle-mounted terminal receives the remote pull diagnosis instruction, the vehicle-mounted terminal is responsible for analyzing the pull instruction and sending a diagnosis request message to the corresponding electronic control unit based on the parameters in the instruction.
And step S6, after receiving the diagnosis request message, the corresponding electronic control unit sends the corresponding diagnosis data to the bus, and the diagnosis data is forwarded to the vehicle-mounted terminal by the gateway.
And step S7, after the vehicle-mounted terminal receives the diagnosis data, packaging and uploading the diagnosis data for analysis by a user.
In this embodiment, each electronic control unit in the remote diagnosis system is used as a fault diagnosis subject to perform fault diagnosis based on the diagnosis logic, and when the electronic control unit diagnoses a relevant fault, the corresponding fault code and fault state are immediately packaged into a conventional CAN message and sequentially sent to the CAN bus where the CAN message is located, and the CAN message is forwarded to the vehicle-mounted terminal by the gateway. And sends the fault code and fault status to the bus in the same manner when the corresponding fault status changes (e.g., the current fault becomes a historical fault). And each electric control unit is distributed with a fixed fault code message ID, and the fault code message ID consists of high, medium and low bytes of a fault code and a fault state. And after the vehicle-mounted terminal receives the fault code messages, adding a timestamp to each fault code message and sending the messages to the background server based on the defined transmission protocol. It should be noted that, if a plurality of electronic control units simultaneously fail in a short time, and then the fault code number is large, the vehicle-mounted terminal caches the fault code data.
Further, after the background server receives fault code data reported by the vehicle-mounted terminal, the fault code data are analyzed and stored according to a preset algorithm, and meanwhile, the fault code data are provided to the intelligent diagnosis APP for operation processing. After the intelligent APP receives the fault code data, the fault codes are classified and counted based on a predefined algorithm, fault conditions are reported to a user, and visual prompt information (such as short messages or voice) of different fault states is provided for the user according to different fault levels. So that the fault problem can be analyzed and checked in time. Based on the mapping relation between the fault codes and the fault interpretation in the fault interpretation library, the intelligent diagnosis APP can also push the solution to the user to improve the fault troubleshooting efficiency, and meanwhile, the intelligent diagnosis APP can also perform induction statistics on the fault codes and provide visual diagnosis analysis results for the user. The specific active uploading process of the fault code is shown in fig. 3, and includes the following steps:
each electronic control unit executes diagnosis operation in a wake-up state or a power-on state based on the diagnosis logic, and the diagnosis items comprise component-level diagnosis (such as internal loop diagnosis) and system-level diagnosis (such as communication diagnosis);
when the electric control unit diagnoses that a fault occurs, the corresponding fault code and the fault state are sent to the bus in a conventional CAN message mode, the sending period of the fault code message is a fixed period, and all positions are 0 when no fault occurs; an example of the data field definition of the CAN message is shown in the following table:
when the electric control unit diagnoses that the fault state of the related fault changes (if the current state changes into the historical state), the corresponding fault code and the fault state are sent to the bus in the form of the conventional CAN message again;
the vehicle-mounted terminal detects fault code messages of each bus network segment through the gateway, and when the fault codes are detected to appear, the vehicle-mounted terminal packs and caches the fault codes according to a protocol agreed with the background server; and when the uploading condition is met, the vehicle-mounted terminal uploads the packaged fault code to the background server.
And the background server carries out classified storage on the received fault codes, wherein the classification dimensionality comprises an electric control unit and a fault grade.
The intelligent diagnosis APP carries out statistical analysis on fault codes stored in the server, reports fault conditions to a user in time based on fault states and fault levels, and provides a fault solution for the user based on a fault interpretation library.
Based on the remote diagnosis system described in this embodiment, on the basis that the fault code is actively reported to the background server, a method for remotely pulling the associated diagnostic data (data identifier, extended frame, and freeze frame) for the specific fault code to support fault problem analysis is provided, and a specific flow is shown in fig. 4, and includes the following steps:
configuring a fault code of related diagnostic data to be pulled in an intelligent diagnosis APP, and writing corresponding configuration data into a corresponding database for storage, wherein the content to be configured comprises an electric control unit, the fault code, whether a data identifier and a specific identifier need to be acquired, an extended frame and a frozen frame.
After the intelligent diagnosis APP obtains the fault code reported by the vehicle end from the background server, whether the fault code needs to be remotely pulled to obtain the associated diagnosis data is judged based on the configuration information, if the fault code needs to be pulled, the intelligent diagnosis APP immediately sends a remote pulling diagnosis data request to the background server, and the request contains all the configuration parameters.
After receiving a request for remotely pulling the diagnostic data, the background server issues a remote pulling instruction to the vehicle-mounted terminal based on a predefined remote diagnostic data pulling protocol;
when the vehicle-mounted terminal receives the remote diagnosis data pulling instruction, the vehicle-mounted terminal judges that the current vehicle state meets the remote diagnosis data pulling condition (the power supply is in an ON gear and the vehicle is not in a local diagnosis state), converts the remote diagnosis instruction into a conventional diagnosis message and sends a diagnosis request message to a corresponding electronic control unit;
after receiving a diagnosis request message sent by the vehicle-mounted terminal, the corresponding electronic control unit sends corresponding data (identifier data, frozen frame data and extended frame data) to the bus, and then the gateway forwards the data to the vehicle-mounted terminal;
and finally, the vehicle-mounted terminal packs and uploads the data. Therefore, the user can further analyze the fault code based on the related data obtained by remote pulling, thereby further providing data support for the remote diagnosis method.
In summary, by means of the active reporting mode of the fault codes of the electric control units, the real-time performance of fault reporting is guaranteed to a certain extent, the problem that the fault codes cannot be obtained timely through background passive pulling is avoided, and faults can be found and processed timely. The invention can also realize the automatic remote pulling of the fault code correlation diagnosis data (the data identifier, the frozen frame and the extended frame), provides data support for fault code analysis to a certain extent, avoids the problem that the fault reason is difficult to analyze by the fault code, and enables the fault analysis to have data support. The self-defined configuration of pulling the fault data is realized, the flexibility of pulling the remote diagnosis data is improved, the diagnosis efficiency is greatly improved, and the diagnosis cost is reduced.
Claims (5)
1. A remote diagnosis method based on fault code active reporting adopts a remote diagnosis system, wherein the remote diagnosis system comprises an electric control unit, a gateway, a vehicle-mounted terminal, a background server and an intelligent diagnosis APP which are sequentially connected, and the method comprises the following steps:
step S1, the electric control unit automatically diagnoses and actively reports fault code data to the outside through the vehicle-mounted bus, and simultaneously forwards the fault code data to the vehicle-mounted terminal through the gateway according to a preset rule;
step S2, the vehicle-mounted terminal is responsible for receiving and packaging the fault code data, uploading the fault code data to a background server for analysis and storage, and transmitting the fault code data to an intelligent diagnosis APP;
step S3, after the intelligent diagnosis APP acquires fault code data uploaded by the vehicle-mounted terminal from the background server, whether the fault code is configured with diagnosis data needing to be pulled and associated is judged, if yes, the intelligent diagnosis APP sends a request for pulling the diagnosis data remotely to the background server, otherwise, the intelligent diagnosis APP analyzes and counts the fault code data and reports the fault condition to a user;
step S4, after the background server receives the request of remote pulling the diagnosis data, the background server sends a remote pulling instruction to the vehicle-mounted terminal;
step S5, after the vehicle-mounted terminal receives the remote pull diagnosis instruction, the vehicle-mounted terminal is responsible for analyzing the pull instruction and sending a diagnosis request message to the corresponding electronic control unit based on the parameters in the instruction;
step S6, after receiving the diagnosis request message, the corresponding electronic control unit sends the corresponding diagnosis data to the bus, and the corresponding diagnosis data is forwarded to the vehicle-mounted terminal by the gateway;
and step S7, after the vehicle-mounted terminal receives the diagnosis data, packaging and uploading the diagnosis data for analysis by a user.
2. The remote diagnosis method based on active fault code reporting according to claim 1, wherein when the electronic control unit in step S1 diagnoses fault data, the corresponding fault codes and fault states are packaged into CAN messages and sequentially sent to a CAN bus, and the CAN messages are forwarded to the on-board diagnosis terminal by the gateway, and when the corresponding fault states change, the fault codes and fault states are sent to the CAN bus in the same manner.
3. The remote diagnosis method based on active fault code reporting according to claim 1 or 2, wherein the electronic control units are each allocated with a fixed fault code message ID, and the fault code message IDs include fault code high, medium, and low bytes and fault status.
4. The remote diagnosis method based on active fault code reporting according to claim 1, wherein in step S5, when the vehicle-mounted terminal receives a remote diagnostic data pulling instruction issued by the backend server and detects that the current vehicle state meets the condition of remotely pulling the diagnostic data, the vehicle terminal converts the remote diagnostic instruction into a conventional diagnostic message and sends a diagnostic request message to the corresponding electronic control unit.
5. The remote diagnosis method based on active fault code reporting according to claim 1 or 4, wherein after the vehicle-mounted terminal sends a diagnosis request message to the corresponding electronic control unit, the vehicle-mounted terminal waits for a diagnosis response message based on the timeout set time, and after receiving the diagnosis response message, the vehicle-mounted terminal packages and uploads the message according to a preset rule.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110162963.1A CN112947372A (en) | 2021-02-05 | 2021-02-05 | Remote diagnosis method based on active reporting of fault codes |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110162963.1A CN112947372A (en) | 2021-02-05 | 2021-02-05 | Remote diagnosis method based on active reporting of fault codes |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112947372A true CN112947372A (en) | 2021-06-11 |
Family
ID=76242757
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110162963.1A Pending CN112947372A (en) | 2021-02-05 | 2021-02-05 | Remote diagnosis method based on active reporting of fault codes |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112947372A (en) |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113467419A (en) * | 2021-06-29 | 2021-10-01 | 重庆长安汽车股份有限公司 | Vehicle fault active alarm system |
CN113625695A (en) * | 2021-08-30 | 2021-11-09 | 重庆长安汽车股份有限公司 | Vehicle real-vehicle control function diagnosis method and system based on android service |
CN113703426A (en) * | 2021-08-30 | 2021-11-26 | 上汽通用五菱汽车股份有限公司 | Vehicle fault remote diagnosis method, system and storage medium |
CN114217596A (en) * | 2021-12-15 | 2022-03-22 | 安徽江淮汽车集团股份有限公司 | Intelligent diagnosis upgrading system and method based on Internet of vehicles |
CN114237204A (en) * | 2021-12-14 | 2022-03-25 | 扬州亚星客车股份有限公司 | Fault processing method and device for pure electric bus |
CN114326683A (en) * | 2021-12-31 | 2022-04-12 | 深圳市星卡科技有限公司 | Method and device for remotely maintaining safety airbag module and computer equipment |
CN114415638A (en) * | 2022-01-21 | 2022-04-29 | 重庆长安汽车股份有限公司 | Remote anomaly detection method for vehicle machine system and readable storage medium |
CN114550340A (en) * | 2022-02-24 | 2022-05-27 | 重庆长安新能源汽车科技有限公司 | Method and system for remote diagnosis of controller |
CN114710479A (en) * | 2022-03-31 | 2022-07-05 | 三一电动车科技有限公司 | Fault diagnosis method, device and system |
CN114839949A (en) * | 2022-04-02 | 2022-08-02 | 北京长安汽车工程技术研究有限责任公司 | Vehicle fault online diagnosis method and system |
CN114863582A (en) * | 2022-04-13 | 2022-08-05 | 岚图汽车科技有限公司 | Vehicle-mounted diagnosis method and device, electronic equipment and readable storage medium |
CN114954127A (en) * | 2022-06-22 | 2022-08-30 | 合众新能源汽车有限公司 | Conduction type direct current quick charging online diagnosis method and system thereof |
CN115431814A (en) * | 2022-09-21 | 2022-12-06 | 重庆长安汽车股份有限公司 | Vehicle charging method and device |
CN117155426A (en) * | 2023-10-30 | 2023-12-01 | 北京紫光青藤微系统有限公司 | Data transmission method for NFC device, NFC device and storage medium |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201600595U (en) * | 2009-10-16 | 2010-10-06 | 中国北车股份有限公司大连电力牵引研发中心 | Locomotive failure diagnosis device |
CN203054592U (en) * | 2012-12-18 | 2013-07-10 | 天津清源电动车辆有限责任公司 | Automotive fault diagnosis system |
CN103200222A (en) * | 2013-02-20 | 2013-07-10 | 无锡鹏讯科技有限公司 | Automobile intelligent monitoring system based on mobile communication wireless network |
CN104977170A (en) * | 2015-06-18 | 2015-10-14 | 奇瑞汽车股份有限公司 | Vehicle fault remote diagnosis system and control method thereof |
CN106809041A (en) * | 2016-12-28 | 2017-06-09 | 广州杰赛科技股份有限公司 | A kind of multi-functional street lamp charging pile |
CN108132663A (en) * | 2017-12-19 | 2018-06-08 | 风度(常州)汽车研发院有限公司 | The analytic method of vehicle trouble messages, device and system |
CN108153275A (en) * | 2016-12-05 | 2018-06-12 | 福特全球技术公司 | Autonomous vehicle processor self diagnosis |
CN207529220U (en) * | 2017-11-08 | 2018-06-22 | 江西闽标车辆制造有限公司 | A kind of whole electric vehicle intelligent fault detection and diagnosis system |
CN108227675A (en) * | 2017-12-27 | 2018-06-29 | 深圳市元征软件开发有限公司 | Vehicular diagnostic method, device, terminal and computer readable storage medium |
CN110109447A (en) * | 2019-05-29 | 2019-08-09 | 重庆长安新能源汽车科技有限公司 | A kind of new-energy automobile remote fault diagnosis method and system |
CN110738332A (en) * | 2019-09-27 | 2020-01-31 | 深圳市元征科技股份有限公司 | Accident vehicle identification method and system, and storage medium |
CN110866152A (en) * | 2019-11-22 | 2020-03-06 | 深圳市元征科技股份有限公司 | Fault code retrieval method and device, electronic equipment and readable storage medium |
CN110928271A (en) * | 2019-11-27 | 2020-03-27 | 江铃汽车股份有限公司 | Automobile self-service diagnosis method and system |
-
2021
- 2021-02-05 CN CN202110162963.1A patent/CN112947372A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201600595U (en) * | 2009-10-16 | 2010-10-06 | 中国北车股份有限公司大连电力牵引研发中心 | Locomotive failure diagnosis device |
CN203054592U (en) * | 2012-12-18 | 2013-07-10 | 天津清源电动车辆有限责任公司 | Automotive fault diagnosis system |
CN103200222A (en) * | 2013-02-20 | 2013-07-10 | 无锡鹏讯科技有限公司 | Automobile intelligent monitoring system based on mobile communication wireless network |
CN104977170A (en) * | 2015-06-18 | 2015-10-14 | 奇瑞汽车股份有限公司 | Vehicle fault remote diagnosis system and control method thereof |
CN108153275A (en) * | 2016-12-05 | 2018-06-12 | 福特全球技术公司 | Autonomous vehicle processor self diagnosis |
CN106809041A (en) * | 2016-12-28 | 2017-06-09 | 广州杰赛科技股份有限公司 | A kind of multi-functional street lamp charging pile |
CN207529220U (en) * | 2017-11-08 | 2018-06-22 | 江西闽标车辆制造有限公司 | A kind of whole electric vehicle intelligent fault detection and diagnosis system |
CN108132663A (en) * | 2017-12-19 | 2018-06-08 | 风度(常州)汽车研发院有限公司 | The analytic method of vehicle trouble messages, device and system |
CN108227675A (en) * | 2017-12-27 | 2018-06-29 | 深圳市元征软件开发有限公司 | Vehicular diagnostic method, device, terminal and computer readable storage medium |
CN110109447A (en) * | 2019-05-29 | 2019-08-09 | 重庆长安新能源汽车科技有限公司 | A kind of new-energy automobile remote fault diagnosis method and system |
CN110738332A (en) * | 2019-09-27 | 2020-01-31 | 深圳市元征科技股份有限公司 | Accident vehicle identification method and system, and storage medium |
CN110866152A (en) * | 2019-11-22 | 2020-03-06 | 深圳市元征科技股份有限公司 | Fault code retrieval method and device, electronic equipment and readable storage medium |
CN110928271A (en) * | 2019-11-27 | 2020-03-27 | 江铃汽车股份有限公司 | Automobile self-service diagnosis method and system |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113467419A (en) * | 2021-06-29 | 2021-10-01 | 重庆长安汽车股份有限公司 | Vehicle fault active alarm system |
CN113625695B (en) * | 2021-08-30 | 2023-07-04 | 重庆长安汽车股份有限公司 | Vehicle control function diagnosis method and system based on android service |
CN113625695A (en) * | 2021-08-30 | 2021-11-09 | 重庆长安汽车股份有限公司 | Vehicle real-vehicle control function diagnosis method and system based on android service |
CN113703426A (en) * | 2021-08-30 | 2021-11-26 | 上汽通用五菱汽车股份有限公司 | Vehicle fault remote diagnosis method, system and storage medium |
CN114237204A (en) * | 2021-12-14 | 2022-03-25 | 扬州亚星客车股份有限公司 | Fault processing method and device for pure electric bus |
CN114237204B (en) * | 2021-12-14 | 2024-07-19 | 扬州亚星客车股份有限公司 | Fault processing method and device for pure electric bus |
CN114217596A (en) * | 2021-12-15 | 2022-03-22 | 安徽江淮汽车集团股份有限公司 | Intelligent diagnosis upgrading system and method based on Internet of vehicles |
CN114326683A (en) * | 2021-12-31 | 2022-04-12 | 深圳市星卡科技有限公司 | Method and device for remotely maintaining safety airbag module and computer equipment |
CN114415638A (en) * | 2022-01-21 | 2022-04-29 | 重庆长安汽车股份有限公司 | Remote anomaly detection method for vehicle machine system and readable storage medium |
CN114550340A (en) * | 2022-02-24 | 2022-05-27 | 重庆长安新能源汽车科技有限公司 | Method and system for remote diagnosis of controller |
CN114550340B (en) * | 2022-02-24 | 2023-07-18 | 深蓝汽车科技有限公司 | Method and system for remote diagnosis of controller |
CN114710479B (en) * | 2022-03-31 | 2023-12-01 | 三一电动车科技有限公司 | Fault diagnosis method, device and system |
CN114710479A (en) * | 2022-03-31 | 2022-07-05 | 三一电动车科技有限公司 | Fault diagnosis method, device and system |
CN114839949A (en) * | 2022-04-02 | 2022-08-02 | 北京长安汽车工程技术研究有限责任公司 | Vehicle fault online diagnosis method and system |
CN114839949B (en) * | 2022-04-02 | 2024-08-23 | 北京长安汽车工程技术研究有限责任公司 | On-line diagnosis method and system for vehicle faults |
CN114863582A (en) * | 2022-04-13 | 2022-08-05 | 岚图汽车科技有限公司 | Vehicle-mounted diagnosis method and device, electronic equipment and readable storage medium |
CN114954127A (en) * | 2022-06-22 | 2022-08-30 | 合众新能源汽车有限公司 | Conduction type direct current quick charging online diagnosis method and system thereof |
CN114954127B (en) * | 2022-06-22 | 2023-12-05 | 合众新能源汽车股份有限公司 | Conductive direct-current quick-charging on-line diagnosis method and system thereof |
CN115431814A (en) * | 2022-09-21 | 2022-12-06 | 重庆长安汽车股份有限公司 | Vehicle charging method and device |
CN115431814B (en) * | 2022-09-21 | 2024-05-17 | 重庆长安汽车股份有限公司 | Vehicle charging method and device |
CN117155426A (en) * | 2023-10-30 | 2023-12-01 | 北京紫光青藤微系统有限公司 | Data transmission method for NFC device, NFC device and storage medium |
CN117155426B (en) * | 2023-10-30 | 2024-03-29 | 北京紫光青藤微系统有限公司 | Data transmission method for NFC device, NFC device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112947372A (en) | Remote diagnosis method based on active reporting of fault codes | |
CN108803552B (en) | Monitoring system and monitoring method for equipment fault | |
CN107819641B (en) | Abnormity analysis method and device of information protection system | |
CN106657387A (en) | Intelligent centralized air-traffic-control automation monitoring system | |
CN109638318B (en) | Fuel cell remote monitoring system and method | |
CN112666932B (en) | Automatic driving remote diagnosis method and system based on DDS and DoIP technology | |
CN113093687B (en) | Fault diagnosis system and method based on domain controller | |
CN113691623A (en) | Software configuration method and device of vehicle-mounted Tbox and cloud platform | |
CN111897718A (en) | Vehicle machine automatic test method based on big data and storage medium | |
CN114839949B (en) | On-line diagnosis method and system for vehicle faults | |
CN112068536A (en) | Universal self-adaptive vehicle remote diagnosis method, device and system | |
CN203151232U (en) | Remote intelligent monitoring system of power dispatching automation equipment | |
CN113467419A (en) | Vehicle fault active alarm system | |
CN114839959A (en) | Vehicle remote diagnosis method and system based on SOA (service oriented architecture) service | |
CN108390863B (en) | Data processing method and device | |
CN106959688A (en) | A kind of vehicle trouble messages acquisition method and device | |
CN106685782B (en) | Profibus active terminal resistance device with DP bus data acquisition function | |
CN116488985A (en) | Processing method of multi-source heterogeneous Internet of things data | |
CN113162942A (en) | Method for forwarding self-adaptive protocol | |
CN114546776A (en) | Abnormal data monitoring method based on cloud platform | |
CN113079530A (en) | Cloud edge collaborative operation and maintenance support system based on 5G slice | |
CN208654637U (en) | A kind of remote monitoring system of the automobile bench test based on vehicle-mounted CAN bus | |
CN113325787B (en) | Automatic driving vehicle-mounted network visualization system and method | |
CN103472797B (en) | The wind-powered electricity generation Vibration Condition Monitoring system that a kind of communication efficiency is high | |
CN216387853U (en) | Real-time vehicle fault pushing system of electric vehicle remote service and management system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210611 |